{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "bb06ec72",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import pandas as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "2d1a905d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir='../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "8205d68a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "11a7e617",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_root=pathlib.Path(data_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "824da0b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000')"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_root"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "f8ace56f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test\n",
      "../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train\n"
     ]
    }
   ],
   "source": [
    "for item in data_root.iterdir():\n",
    "    print(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "3490cb65",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_train_images_path=list(data_root.glob(\"train/*/*\"))\n",
    "all_test_images_path=list(data_root.glob(\"test/*/*\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "bca51070",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[PosixPath('../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test/cat/cat.1239.jpg'),\n",
       " PosixPath('../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test/cat/cat.1013.jpg'),\n",
       " PosixPath('../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test/cat/cat.1007.jpg')]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_train_images_path[2:5]\n",
    "all_test_images_path[2:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "e9c4009c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 1000)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(all_train_images_path),len(all_test_images_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "cf298d96",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_train_images_path= [str(path) for path in all_train_images_path]\n",
    "all_test_images_path= [str(path) for path in all_test_images_path]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "372d6efd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/cat/cat.926.jpg',\n",
       "  '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/cat/cat.932.jpg'],\n",
       " ['../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test/cat/cat.1057.jpg',\n",
       "  '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/test/cat/cat.1080.jpg'])"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_train_images_path[300:302],all_test_images_path[300:302]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "4a219665",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "30def8fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "random.shuffle(all_train_images_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "aee83776",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/dog/dog.354.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/dog/dog.946.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/dog/dog.930.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/cat/cat.254.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/dog/dog.511.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/cat/cat.900.jpg',\n",
       " '../Desktop/Tenosrflow2.0教程-日月光华（不加密）/日月光华-tensorflow资料/data/dc_2000/train/dog/dog.474.jpg']"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_train_images_path[2:9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "c6ac50e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['cat', 'dog']"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_name=sorted([item.name for item in data_root.glob('train/*')])\n",
    "labels_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "45b98caa",
   "metadata": {},
   "outputs": [],
   "source": [
    "label_to_index=dict((name,index) for (index,name) in enumerate(labels_name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "99205cc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cat': 0, 'dog': 1}"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_to_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "4ad35203",
   "metadata": {},
   "outputs": [],
   "source": [
    "index_to_label=dict((v,k) for k,v in label_to_index.items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "f8d4d098",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 'cat', 1: 'dog'}"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_to_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "28b593c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_train_image_labels =[label_to_index[pathlib.Path(p).parent.name] for p in all_train_images_path]\n",
    "all_test_image_labels =[label_to_index[pathlib.Path(p).parent.name] for p in all_test_images_path]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "76c538c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([1, 1, 1, 0, 1, 0, 1], [1, 1, 1, 0, 1, 0, 1])"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_train_image_labels[2:9],all_train_image_labels[2:9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "f0d8cac6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython.display as display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "a3b62a50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dog\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cat\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cat\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for n in range(3):\n",
    "    image_index=random.choice(range(len(all_train_images_path)))\n",
    "    display.display(display.Image(all_train_images_path[image_index]))\n",
    "    print(index_to_label[all_train_image_labels[image_index]])\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "46623973",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TensorShape([159, 240, 3])"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_raw=tf.io.read_file(all_train_images_path[0])\n",
    "image_tensor=tf.image.decode_image(image_raw)\n",
    "image_tensor.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "3800ae69",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_preprosess_image(image_path):\n",
    "    image_raw=tf.io.read_file(image_path)\n",
    "    image_tensor=tf.image.decode_jpeg(image_raw,channels=3)\n",
    "    image_tensor=tf.image.resize(image_tensor,[256,256])\n",
    "    image_tensor=tf.cast(image_tensor,tf.float32)\n",
    "    image=image_tensor/255\n",
    "    return image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "a19da94a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x17cf3d1c0>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(load_preprosess_image(all_train_images_path[5]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "20383bbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dataset_path=tf.data.Dataset.from_tensor_slices(all_train_images_path)\n",
    "train_dataset_image=train_dataset_path.map(load_preprosess_image)\n",
    "test_dataset_path=tf.data.Dataset.from_tensor_slices(all_test_images_path)\n",
    "test_dataset_image=train_dataset_path.map(load_preprosess_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "c356519c",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_labels=tf.data.Dataset.from_tensor_slices(all_train_image_labels)\n",
    "test_labels=tf.data.Dataset.from_tensor_slices(all_test_image_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "f0a4a428",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_ds=tf.data.Dataset.zip((train_dataset_image,train_labels))\n",
    "test_ds=tf.data.Dataset.zip((test_dataset_image,test_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "df958668",
   "metadata": {},
   "outputs": [],
   "source": [
    "BATCHSIZE=64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "06394376",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_ds=train_ds.repeat().shuffle(len(train_ds)).batch(BATCHSIZE)\n",
    "test_ds=test_ds.batch(BATCHSIZE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "e882b54e",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.Sequential()   #顺序模型\n",
    "model.add(tf.keras.layers.Conv2D(32, (3, 3), input_shape=(256, 256, 3), activation='relu'))\n",
    "model.add(tf.keras.layers.Conv2D(32, (3, 3), activation='relu'))\n",
    "model.add(tf.keras.layers.MaxPooling2D())\n",
    "model.add(tf.keras.layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(tf.keras.layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(tf.keras.layers.MaxPooling2D())\n",
    "# model.add(tf.keras.layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "# model.add(tf.keras.layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "# model.add(tf.keras.layers.MaxPooling2D())\n",
    "# model.add(tf.keras.layers.Conv2D(256, (3, 3), activation='relu'))\n",
    "# model.add(tf.keras.layers.MaxPooling2D())\n",
    "# model.add(tf.keras.layers.Conv2D(256, (3, 3), activation='relu'))\n",
    "# model.add(tf.keras.layers.MaxPooling2D())\n",
    "model.add(tf.keras.layers.Conv2D(128, (3, 3), activation='relu'))\n",
    "model.add(tf.keras.layers.GlobalAveragePooling2D())\n",
    "model.add(tf.keras.layers.Dense(256, activation='relu'))\n",
    "model.add(tf.keras.layers.Dense(128, activation='relu'))\n",
    "model.add(tf.keras.layers.Dense(1, activation='sigmoid'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "543df884",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_9 (Conv2D)            (None, 254, 254, 32)      896       \n",
      "_________________________________________________________________\n",
      "conv2d_10 (Conv2D)           (None, 252, 252, 32)      9248      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_5 (MaxPooling2 (None, 126, 126, 32)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_11 (Conv2D)           (None, 124, 124, 64)      18496     \n",
      "_________________________________________________________________\n",
      "conv2d_12 (Conv2D)           (None, 122, 122, 64)      36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_6 (MaxPooling2 (None, 61, 61, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_13 (Conv2D)           (None, 59, 59, 128)       73856     \n",
      "_________________________________________________________________\n",
      "global_average_pooling2d_1 ( (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 256)               33024     \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 128)               32896     \n",
      "_________________________________________________________________\n",
      "dense_5 (Dense)              (None, 1)                 129       \n",
      "=================================================================\n",
      "Total params: 205,473\n",
      "Trainable params: 205,473\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "7ee5b535",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer='adam',\n",
    "             loss='binary_crossentropy',\n",
    "             metrics=['acc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "234ab8a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "steps_per_epoch=2000//BATCHSIZE\n",
    "validation_steps=1000//BATCHSIZE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "7d39bb79",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-08-02 14:24:53.240029: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)\n",
      "2021-08-02 14:24:53.243219: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n",
      "2021-08-02 14:24:53.243808: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31/31 [==============================] - ETA: 0s - loss: 0.6934 - acc: 0.5025"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-08-02 14:25:52.243241: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/31 [==============================] - 68s 2s/step - loss: 0.6934 - acc: 0.5025 - val_loss: 0.6930 - val_acc: 0.5188\n"
     ]
    }
   ],
   "source": [
    "history=model.fit(train_ds,epochs=1,#电脑太慢了\n",
    "                  steps_per_epoch=steps_per_epoch,\n",
    "                 validation_data=test_ds,\n",
    "                 validation_steps=validation_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70b98dce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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